ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.01606
  4. Cited By
Inferring Which Medical Treatments Work from Reports of Clinical Trials
v1v2 (latest)

Inferring Which Medical Treatments Work from Reports of Clinical Trials

2 April 2019
Eric P. Lehman
Jay DeYoung
Regina Barzilay
Byron C. Wallace
ArXiv (abs)PDFHTML

Papers citing "Inferring Which Medical Treatments Work from Reports of Clinical Trials"

22 / 72 papers shown
Title
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale
  Generation
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation
Kushal Lakhotia
Bhargavi Paranjape
Asish Ghoshal
Wen-tau Yih
Yashar Mehdad
Srini Iyer
63
28
0
31 Dec 2020
Self-Explaining Structures Improve NLP Models
Self-Explaining Structures Improve NLP Models
Zijun Sun
Chun Fan
Qinghong Han
Xiaofei Sun
Yuxian Meng
Leilei Gan
Jiwei Li
MILMXAILRMFAtt
117
38
0
03 Dec 2020
An Investigation of Language Model Interpretability via Sentence Editing
An Investigation of Language Model Interpretability via Sentence Editing
Samuel Stevens
Yu-Chuan Su
LRM
39
9
0
28 Nov 2020
Weakly- and Semi-supervised Evidence Extraction
Weakly- and Semi-supervised Evidence Extraction
Danish Pruthi
Bhuwan Dhingra
Graham Neubig
Zachary Chase Lipton
83
23
0
03 Nov 2020
Measuring Association Between Labels and Free-Text Rationales
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe
Ana Marasović
Noah A. Smith
339
182
0
24 Oct 2020
Unsupervised Data Augmentation with Naive Augmentation and without
  Unlabeled Data
Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data
David Lowell
Brian Howard
Zachary Chase Lipton
Byron C. Wallace
124
24
0
22 Oct 2020
Predicting Clinical Trial Results by Implicit Evidence Integration
Predicting Clinical Trial Results by Implicit Evidence Integration
Qiao Jin
Chuanqi Tan
Mosha Chen
Xiaozhong Liu
Songfang Huang
66
10
0
12 Oct 2020
Evaluating and Characterizing Human Rationales
Evaluating and Characterizing Human Rationales
Samuel Carton
Anirudh Rathore
Chenhao Tan
74
49
0
09 Oct 2020
Understanding Clinical Trial Reports: Extracting Medical Entities and
  Their Relations
Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations
Benjamin E. Nye
Jay DeYoung
Eric P. Lehman
A. Nenkova
Iain J. Marshall
Byron C. Wallace
85
22
0
07 Oct 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales
  Without Supervision
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision
Max Glockner
Ivan Habernal
Iryna Gurevych
LRM
95
26
0
07 Oct 2020
Generating (Factual?) Narrative Summaries of RCTs: Experiments with
  Neural Multi-Document Summarization
Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization
Byron C. Wallace
Sayantani Saha
Frank Soboczenski
Iain J. Marshall
HILM
88
79
0
25 Aug 2020
Aligning Faithful Interpretations with their Social Attribution
Aligning Faithful Interpretations with their Social Attribution
Alon Jacovi
Yoav Goldberg
77
106
0
01 Jun 2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal
  Transport
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport
Kyle Swanson
L. Yu
Tao Lei
OT
67
37
0
27 May 2020
Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time
Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time
Benjamin E. Nye
A. Nenkova
Iain J. Marshall
Byron C. Wallace
46
25
0
21 May 2020
Semi-Automating Knowledge Base Construction for Cancer Genetics
Semi-Automating Knowledge Base Construction for Cancer Genetics
Somin Wadhwa
K. Yin
K. Hughes
Byron C. Wallace
108
0
0
17 May 2020
Evidence Inference 2.0: More Data, Better Models
Evidence Inference 2.0: More Data, Better Models
Jay DeYoung
Eric P. Lehman
Benjamin E. Nye
Iain J. Marshall
Byron C. Wallace
113
69
0
08 May 2020
An Information Bottleneck Approach for Controlling Conciseness in
  Rationale Extraction
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
Bhargavi Paranjape
Mandar Joshi
John Thickstun
Hannaneh Hajishirzi
Luke Zettlemoyer
70
101
0
01 May 2020
Learning to Faithfully Rationalize by Construction
Learning to Faithfully Rationalize by Construction
Sarthak Jain
Sarah Wiegreffe
Yuval Pinter
Byron C. Wallace
87
165
0
30 Apr 2020
Fact or Fiction: Verifying Scientific Claims
Fact or Fiction: Verifying Scientific Claims
David Wadden
Shanchuan Lin
Kyle Lo
Lucy Lu Wang
Madeleine van Zuylen
Arman Cohan
Hannaneh Hajishirzi
HAI
200
465
0
30 Apr 2020
Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost
  Therapies
Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies
Shivashankar Subramanian
Ioana Baldini
S. Ravichandran
Dmitriy A. Katz-Rogozhnikov
Karthikeyan N. Ramamurthy
P. Sattigeri
Kush R. Varshney
Annmarie Wang
Pradeep Mangalath
Laura B. Kleiman
31
4
0
18 Nov 2019
ERASER: A Benchmark to Evaluate Rationalized NLP Models
ERASER: A Benchmark to Evaluate Rationalized NLP Models
Jay DeYoung
Sarthak Jain
Nazneen Rajani
Eric P. Lehman
Caiming Xiong
R. Socher
Byron C. Wallace
163
640
0
08 Nov 2019
Structured Attention Networks
Structured Attention Networks
Yoon Kim
Carl Denton
Luong Hoang
Alexander M. Rush
152
463
0
03 Feb 2017
Previous
12